Varun Belagali
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add dataset
Browse files- .gitattributes +1 -0
- README.md +41 -0
- duck_collect.hdf5 +3 -0
- duck_lift.hdf5 +3 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.hdf5 filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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---
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---
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license: mit
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arxiv: 2307.01849
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task_categories:
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- robotics
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---
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# Crossway Ducks
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This is the dataset repo for real world experiments presented in [ICRA'24](https://2024.ieee-icra.org/) paper [Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning](https://arxiv.org/abs/2307.01849).
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These datasets are collected in the same format as [robomimic](https://robomimic.github.io/docs/datasets/overview.html).
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To train on this dataset (and your own datasets), please modify your config file as follows:
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1. Change `dataset_path` to the path of `hdf5` file.
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2. Use the following `shape_meta`.
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```
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shape_meta:
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action:
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shape:
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- 4
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obs:
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pos:
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shape:
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- 4
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type: low_dim
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camera0:
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shape:
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- 3
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- 120
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- 160
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type: rgb
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camera1:
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shape:
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- 3
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- 120
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- 160
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type: rgb
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```
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For the training and evaluation code, please visit our [github repo](https://github.com/LostXine/crossway_diffusion).
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Watch [🎬 video presentation](https://youtu.be/9deKHueZBuk)!
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For questions, please raise a [github issue](https://github.com/LostXine/crossway_diffusion/issues).
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duck_collect.hdf5
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version https://git-lfs.github.com/spec/v1
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oid sha256:a68bf38ab2a2600547ca01a354b3b6182a302932e97824cb92876b4d304baeb8
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size 1073646168
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duck_lift.hdf5
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version https://git-lfs.github.com/spec/v1
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oid sha256:0febbaf7019fbd6443a0b105a523576768233fd4fa25f10d0e72bf44c4c4ced8
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size 425239568
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